Distributed Voronoi-Based Self-Redeployment for Coverage Enhancement in a Mobile Directional Sensor Network

A directional sensor network is different from conventional wireless sensor networks. It uses directional sensors instead of omnidirectional ones in the network for different applications, and the effective sensing range is characterized by directionality and size-specific sensing angle. Therefore,...

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Main Authors: Tien-Wen Sung, Chu-Sing Yang
Format: Article
Language:English
Published: Wiley 2013-11-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2013/165498
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author Tien-Wen Sung
Chu-Sing Yang
author_facet Tien-Wen Sung
Chu-Sing Yang
author_sort Tien-Wen Sung
collection DOAJ
description A directional sensor network is different from conventional wireless sensor networks. It uses directional sensors instead of omnidirectional ones in the network for different applications, and the effective sensing range is characterized by directionality and size-specific sensing angle. Therefore, conditions of directional sensor networks are dissimilar to those of generic wireless sensor networks for researches, especially on the sensing coverage. This study proposed a distributed approach to enhance the overall field coverage by utilizing mobile and direction-rotatable sensors in a directional sensor network. The algorithm makes sensors self-redeploy to the new location and new direction without global information by utilizing the features of geometrical Voronoi cells. Simulations were used to evaluate and prove the effectiveness of the proposed algorithm. The results show that the approach contributes to significant field coverage improvement in directional sensor networks.
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institution Kabale University
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publisher Wiley
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series International Journal of Distributed Sensor Networks
spelling doaj-art-466a02e7166a46bdb3636eebb1ff55cc2025-02-03T05:48:32ZengWileyInternational Journal of Distributed Sensor Networks1550-14772013-11-01910.1155/2013/165498Distributed Voronoi-Based Self-Redeployment for Coverage Enhancement in a Mobile Directional Sensor NetworkTien-Wen SungChu-Sing YangA directional sensor network is different from conventional wireless sensor networks. It uses directional sensors instead of omnidirectional ones in the network for different applications, and the effective sensing range is characterized by directionality and size-specific sensing angle. Therefore, conditions of directional sensor networks are dissimilar to those of generic wireless sensor networks for researches, especially on the sensing coverage. This study proposed a distributed approach to enhance the overall field coverage by utilizing mobile and direction-rotatable sensors in a directional sensor network. The algorithm makes sensors self-redeploy to the new location and new direction without global information by utilizing the features of geometrical Voronoi cells. Simulations were used to evaluate and prove the effectiveness of the proposed algorithm. The results show that the approach contributes to significant field coverage improvement in directional sensor networks.https://doi.org/10.1155/2013/165498
spellingShingle Tien-Wen Sung
Chu-Sing Yang
Distributed Voronoi-Based Self-Redeployment for Coverage Enhancement in a Mobile Directional Sensor Network
International Journal of Distributed Sensor Networks
title Distributed Voronoi-Based Self-Redeployment for Coverage Enhancement in a Mobile Directional Sensor Network
title_full Distributed Voronoi-Based Self-Redeployment for Coverage Enhancement in a Mobile Directional Sensor Network
title_fullStr Distributed Voronoi-Based Self-Redeployment for Coverage Enhancement in a Mobile Directional Sensor Network
title_full_unstemmed Distributed Voronoi-Based Self-Redeployment for Coverage Enhancement in a Mobile Directional Sensor Network
title_short Distributed Voronoi-Based Self-Redeployment for Coverage Enhancement in a Mobile Directional Sensor Network
title_sort distributed voronoi based self redeployment for coverage enhancement in a mobile directional sensor network
url https://doi.org/10.1155/2013/165498
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